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Poster
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Mon 2:30
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Neural-based classification rule learning for sequential data
Marine Collery · Philippe Bonnard · François Fages · Remy Kusters
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Poster
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Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning
Zehao Niu · Mihai Anitescu · Jie Chen
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Poster
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Wed 2:30
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Robustness to corruption in pre-trained Bayesian neural networks
Xi Wang · Laurence Aitchison
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Oral
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Tue 6:00
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Active Learning in Bayesian Neural Networks with Balanced Entropy Learning Principle
Jae Oh Woo
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Poster
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Tue 7:30
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Active Learning in Bayesian Neural Networks with Balanced Entropy Learning Principle
Jae Oh Woo
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Poster
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Wed 2:30
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Calibrating Transformers via Sparse Gaussian Processes
Wenlong Chen · Yingzhen Li
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Poster
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Semi-supervised learning with a principled likelihood from a generative model of data curation
Stoil Ganev · Laurence Aitchison
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Poster
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Wed 7:30
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Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient Unsupervised Learning: Theory and Design Principles
Biswadeep Chakraborty · Saibal Mukhopadhyay
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Poster
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Thalamus: a brain-inspired algorithm for biologically-plausible continual learning and disentangled representations
Ali Hummos
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Poster
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Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel
SungYub Kim · Sihwan Park · Kyungsu Kim · Eunho Yang
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Poster
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Tue 7:30
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MARS: Meta-learning as Score Matching in the Function Space
Kruno Lehman · Jonas Rothfuss · Andreas Krause
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Oral
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Tue 7:00
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MARS: Meta-learning as Score Matching in the Function Space
Kruno Lehman · Jonas Rothfuss · Andreas Krause
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